GMM

5 Ways for Deciding Number of Clusters in a Clustering Model | Machine Learning | Python

5 Ways for Deciding Number of Clusters in a Clustering Model

Welcome to GrabNGoInfo! Deciding the optimal number of clusters is a critical step in building an unsupervised clustering model. In this tutorial, we will talk about five ways to decide the number of clusters for a clustering model in Python. You will learn: Resources for this post: Let’s get started! Step 1: Import Libraries In …

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Gaussian Mixture Model (GMM) for Anomaly Detection. Predict anomalies from a Gaussian Mixture Model (GMM) using percentage threshold and value threshold, and improve anomaly prediction performance

Gaussian Mixture Model (GMM) for Anomaly Detection

Gaussian Mixture Model (GMM) is a probabilistic clustering model that assumes each data point belongs to a Gaussian distribution. Anomaly detection is the process of identifying unusual data points. Gaussian Mixture Model (GMM) detects outliers by identifying the data points in low-density regions [1]. In this tutorial, we will use Python’s sklearn library to implement Gaussian Mixture …

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